Triple
T14255240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China – Measures Affecting Imports of Automobile Parts |
E353367
|
entity |
| Predicate | allegedInconsistencyWith |
P113448
|
FINISHED |
| Object | WTO rules |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: WTO rules | Statement: [China – Measures Affecting Imports of Automobile Parts, allegedInconsistencyWith, WTO rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedInconsistencyWith Context triple: [China – Measures Affecting Imports of Automobile Parts, allegedInconsistencyWith, WTO rules]
-
A.
inconsistencyDiscoveredIn
Indicates that an inconsistency has been identified within or associated with a specified entity, context, or dataset.
-
B.
consistentWith
Indicates that one entity does not contradict and is compatible or in agreement with another entity, condition, or set of constraints.
-
C.
isInconsistent
Indicates that there is a logical or factual contradiction within or between the entities or statements involved.
-
D.
allegedClause
Indicates that a clause or statement is claimed or asserted to be true, typically without confirmed proof or legal determination.
-
E.
wasShownInconsistentBy
Indicates that one entity demonstrated or revealed inconsistency in the behavior, statements, or properties of another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62992a188190bc046fbab5a149d6 |
completed | April 14, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:09 a.m.